DocumentCode :
2903209
Title :
Product Named Entity Recognition Using Conditional Random Fields
Author :
Luo, Fang ; Xiao, Han ; Chang, Weili
Author_Institution :
Dept. of Comput. Sci. & Technol., Wuhan Univ. of Technol., Wuhan, China
fYear :
2011
fDate :
17-18 Oct. 2011
Firstpage :
86
Lastpage :
89
Abstract :
For Product Named Entity Recognition, Conditional Random Fields model is used in this paper. By introducing the domain ontology features to the CRFs model can improve the performance of Product Named Entity Recognition, and experiments were made to compare the two kinds of feature templates. Empirical results show that the PNER based on CRFs model with ontology features can achieve good performance. However, the Imperfect of Domain Ontology leads to the product named entity recognition may be not better than the research of other previous scholars using other methods for traditional named entity recognition.
Keywords :
natural language processing; ontologies (artificial intelligence); conditional random fields; domain ontology; product named entity recognition; Computational modeling; Computers; Context; Mathematical model; Ontologies; Semantics; Speech; CRFs; Domain Ontology; Feature Selection; PNER;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Business Intelligence and Financial Engineering (BIFE), 2011 Fourth International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4577-1541-9
Type :
conf
DOI :
10.1109/BIFE.2011.101
Filename :
6121094
Link To Document :
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